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Volume 41 Issue 8
Aug.  2015
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Journal of Beijing University of Aeronautics and Astronautics  > 2015  >  41(8): 1388-1395.
YANG Zebin, DONG Dawei, FAN Rong, et al. Radial displacement-sensorless control for bearingless induction motor[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(8): 1388-1395. doi: 10.13700/j.bh.1001-5965.2014.0779(in Chinese)
Citation: YANG Zebin, DONG Dawei, FAN Rong, et al. Radial displacement-sensorless control for bearingless induction motor[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(8): 1388-1395. doi: 10.13700/j.bh.1001-5965.2014.0779(in Chinese)
shu

Radial displacement-sensorless control for bearingless induction motor

doi: 10.13700/j.bh.1001-5965.2014.0779
  • 1.

    College of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China

  • 2. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China

  • Received Date: 12 Dec 2014
  • Publish Date: 20 Aug 2015
    Abstract
  • Aimed at rotor position identification of bearingless induction motor (BIM), a displacement-sensorless control scheme based on modified back electromotive force was proposed for the BIM. Firstly, to eliminate the flux observation error, on the basis of the back electromotive force (BEMF) method, the low pass filter was added to the flux observation model of radial suspension force winding. At the same time, the amplitude and phase deviation caused by the addition of low pass filter were compensated. Secondly, the modified flux observation model of radial suspension force winding was obtained and the rotor radial deviation was obtained according to the relationship equation between flux and displacement. Thus, the radial displacement self-detecting was achieved. Finally, a displacement-sensorless vector control system of the BIM was established using the presented position detection method. The simulation results show that the control system not only can accurately detect the rotor radial position, but also has good speed and torque characteristics. The further experimental results also show that the method had a good ability of radial displacement self-detecting. The BIM can realize stable suspension operation with displacement-sensorless.

     

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